Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders

Abstract

The percentage of people around the world who are living with some kind of disability or disorder has increased in recent years and continues to rise due to the aging of the population and the increase in chronic health disorders. People with disabilities find problems in performing some of the activities of daily life, such as working, attending school, or participating in social and recreational events. Neurological disorders such as epilepsy, learning disabilities, autism spectrum disorder, or Alzheimer’s, are among the main diseases that affect a large number of this population. However, thanks to the assistive technologies (AT), these people can improve their performance in some of the obstacles presented by their disorders. This paper presents a new system that aims to help people with neurological disorders providing useful information about their pathologies. This novelty system consists of a platform where the physiological and environmental data acquisition, the feature engineering, and the machine learning algorithms are combined to generate customs predictive models that help the user. Finally, to demonstrate the use of the system and the working methodology employed in the platform, a simple example case is presented. This example case carries out an experimentation that presents a user without neurological problems that shows the versatility of the platform and validates that it is possible to get useful information that can feed an intelligent algorithm.

An ML-Based Approach to Reconstruct Heart Rate from PPG in Presence of Motion Artifacts

“…A monitoring device especially designed for people with autism spectrum disorder (ASD) is developed to measure physiological signals. The design of this device can be found in [25,26], and it is part of a more complex platform. This system is composed of different monitoring systems to acquire information from the environment and for the physiological user's state in order to associate changes in the behavior of users with ASD with the stimuli of the environment.…”

Robotic Platforms for Assistance to People with Disabilities

“…The use of monitoring devices can also be applied to neurological disorders in order to improve the living conditions of people suffering from them. In [7], Vicente-Samper et al propose mixing data from a personal device (that measures motor activity with an inertial sensor, heart rate, and body temperature) with that from an environmental device (based on a camera for tracking people around the user in order to detect social interactions) into a standard database where machine learning algorithms can extract user models (i.e., concentration level-distracted vs. focused-of the user while performing a task, such as reading a book).…”